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An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-024-09645-7openalex-snapshot

Few-shot transfer learning for wearable IMU-based human activity recognition

inferredcites →https://doi.org/10.1016/j.apacoust.2018.06.013openalex-snapshot

Fall detection through acoustic Local Ternary Patterns

inferredcites →https://doi.org/10.1016/j.bspc.2021.103242openalex-snapshot

Deep learning based fall detection using smartwatches for healthcare applications

inferredcites →https://doi.org/10.1016/j.engappai.2023.105993openalex-snapshot

A review of wearable sensors based fall-related recognition systems

inferredcites →https://doi.org/10.1016/j.eswa.2022.117661openalex-snapshot

Efficient fall detection in four directions based on smart insoles and RDAE-LSTM model

inferredcites →https://doi.org/10.1016/j.eswa.2023.122863openalex-snapshot

EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme

inferredcites →https://doi.org/10.1016/j.measurement.2019.03.079openalex-snapshot

Intelligent fall detection method based on accelerometer data from a wrist-worn smart watch

inferredcites →https://doi.org/10.1016/j.measurement.2020.108258openalex-snapshot

Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices

inferredcites →https://doi.org/10.1109/access.2021.3056441openalex-snapshot

Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features

inferredcites →https://doi.org/10.1109/access.2022.3190618openalex-snapshot

A Machine Learning Approach for the Classification of Falls and Activities of Daily Living in Agricultural Workers

inferredcites →https://doi.org/10.1109/bibe.2013.6701629openalex-snapshot

The MobiFall dataset: An initial evaluation of fall detection algorithms using smartphones

inferredcites →https://doi.org/10.1109/jbhi.2023.3278657openalex-snapshot

BAFNet: Bottleneck Attention Based Fusion Network for Sleep Apnea Detection

inferredcites →https://doi.org/10.1109/jcsse54890.2022.9836284openalex-snapshot

Fall Detection and Prediction Based on IMU and EMG Sensors for Elders

inferredcites →https://doi.org/10.1109/jsen.2016.2603163openalex-snapshot

Design and Implementation of Practical Step Detection Algorithm for Wrist-worn Devices

inferredcites →https://doi.org/10.1109/jsen.2019.2898891openalex-snapshot

Activity-Aware Fall Detection and Recognition Based on Wearable Sensors

inferredcites →https://doi.org/10.1109/jsen.2020.3032728openalex-snapshot

Multi-Occupancy Fall Detection Using Non-Invasive Thermal Vision Sensor

inferredcites →https://doi.org/10.1109/jsen.2021.3131037openalex-snapshot

Wearable Pre-Impact Fall Detection System Based on 3D Accelerometer and Subject’s Height

inferredcites →https://doi.org/10.1109/jsen.2022.3213814openalex-snapshot

A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors

inferredcites →https://doi.org/10.1109/jsen.2022.3222825openalex-snapshot

Contrastive Accelerometer–Gyroscope Embedding Model for Human Activity Recognition

inferredcites →https://doi.org/10.1109/tce.2020.3000338openalex-snapshot

CMFALL: A Cascade and Parallel Multi-State Fall Detection Algorithm Using Waist-Mounted Tri-Axial Accelerometer Signals

inferredcites →https://doi.org/10.1109/tce.2020.3021398openalex-snapshot

A WiFi-Based Smart Home Fall Detection System Using Recurrent Neural Network

inferredcites →https://doi.org/10.1109/tcsii.2019.2904498openalex-snapshot

Fall Detection Using Standoff Radar-Based Sensing and Deep Convolutional Neural Network

inferredcites →https://doi.org/10.1109/tii.2018.2839749openalex-snapshot

FallDroid: An Automated Smart-Phone-Based Fall Detection System Using Multiple Kernel Learning

inferredcites →https://doi.org/10.1109/tnsre.2019.2911602openalex-snapshot

A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System

inferredcites →https://doi.org/10.1142/s0129065722500484openalex-snapshot

Personalized Watch-Based Fall Detection Using a Collaborative Edge-Cloud Framework

inferredcites →https://doi.org/10.15585/mmwr.mm6537a2openalex-snapshot

Falls and Fall Injuries Among Adults Aged ≥65 Years — United States, 2014

inferredcites →https://doi.org/10.2196/41712openalex-snapshot

Examination of the Feasibility, Acceptability, and Efficacy of the Online Personalised Training in Memory Strategies for Everyday Program for Older Adults: Single-Arm Pre-Post Trial

inferredcites →https://doi.org/10.2196/mhealth.8201openalex-snapshot

Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

inferredcites →https://doi.org/10.2196/mhealth.9177openalex-snapshot

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

inferredcites →https://doi.org/10.3233/ais-150306openalex-snapshot

A pervasive neural network based fall detection system on smart phone

inferredcites →https://doi.org/10.3389/fdgth.2023.1223845openalex-snapshot

Comparison of machine learning approaches for near-fall-detection with motion sensors

inferredcites →https://doi.org/10.3389/frobt.2020.00071openalex-snapshot

Elderly Fall Detection Systems: A Literature Survey

inferredcites →https://doi.org/10.3390/app12073276openalex-snapshot

A Survey of IoT-Based Fall Detection for Aiding Elderly Care: Sensors, Methods, Challenges and Future Trends

inferredcites →https://doi.org/10.3390/s17010198openalex-snapshot

SisFall: A Fall and Movement Dataset

inferredcites →https://doi.org/10.3390/s19040774openalex-snapshot

Evaluation of Inertial Sensor-Based Pre-Impact Fall Detection Algorithms Using Public Dataset

inferredcites →https://doi.org/10.3390/s19224885openalex-snapshot

Wearable Fall Detector Using Recurrent Neural Networks

inferredcites →https://doi.org/10.3390/s20051277openalex-snapshot

Enhanced Algorithm for the Detection of Preimpact Fall for Wearable Airbags

inferredcites →https://doi.org/10.3390/s20051466openalex-snapshot

A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets

inferredcites →https://doi.org/10.3390/s20154192openalex-snapshot

An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People

inferredcites →https://doi.org/10.3390/s20216126openalex-snapshot

Acceleration Magnitude at Impact Following Loss of Balance Can Be Estimated Using Deep Learning Model

inferredcites →https://doi.org/10.3390/s21217166openalex-snapshot

Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults

inferredcites →https://doi.org/10.3390/s23146283openalex-snapshot

Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection

inferredcites →https://doi.org/10.3390/s24061908openalex-snapshot

PAR-Net: An Enhanced Dual-Stream CNN–ESN Architecture for Human Physical Activity Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Real-Time Fall Detection Using Multisensor Wrist-Wearable IoT Device and ANN Classifier

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A Sensor Fusion Approach for Fall Detection Using IoT and Cloud-Based Analysis Algorithms

inferred← citeshttps://doi.org/10.1007/978-3-032-28463-1_28openalex-snapshot

A Neuromusculoskeletal Simulation Framework for Generating Realistic, Multi-modal Synthetic Fall Data

inferred← citeshttps://doi.org/10.1007/978-3-032-33535-7_18openalex-snapshot

Machine Learning-Based Fall Detection System Using Mobile Sensor Data in Geriatric Healthcare

inferred← citeshttps://doi.org/10.1007/s00146-025-02395-7openalex-snapshot

Technical insights into vision-based fall detection systems: performances, challenges, and constraints

inferred← citeshttps://doi.org/10.1007/s00530-026-02231-yopenalex-snapshot

Metasave: A novel blockchain-based remote health monitoring framework with IoT and AI

inferred← citeshttps://doi.org/10.1007/s10791-025-09700-4openalex-snapshot

TCN-BiSRU-V2 fall detection model with performance evaluation and comparative analysis

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113931openalex-snapshot

Fall detection system using tabular GAN for data augmentation with integration of isolation forest model

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110986openalex-snapshot

A Lyapunov Regularizer-aided dual-branch Temporal Convolutional Network for fall detection using sensor data

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111364openalex-snapshot

An explainable artificial intelligence driven fall system for sensor data analysis enhanced by butterworth filtering

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Image recognition-based detection system for preventing accidental dislodgement of head-and-neck medical supplies in ICU patients: A feasibility randomized controlled trial

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Workplace tripping risk identification via millimeter-wave radar-based contactless gait analysis

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Robust neuromorphic MEMS tuning fork gyroscope with integrated sensing and tunable physical reservoir computing for fall detection in wearable systems

inferred← citeshttps://doi.org/10.1109/access.2025.3641198openalex-snapshot

Beyond Falls: A Hybrid CNN–LSTM–Attention Framework for Pre-, Transition-, and Post-Fall Detection With Wearable Inertial Sensors

inferred← citeshttps://doi.org/10.1109/atc67618.2025.11268637openalex-snapshot

Real-Time XGBoost-Based HAR for Elderly Monitoring Using Wearable Accelerometer and Low-Resource Microcontroller

inferred← citeshttps://doi.org/10.1109/ciacon70148.2026.11688180openalex-snapshot

Fall Detection Using YOLOv8 and MediaPipe: A Software-Based Pose Estimation Framework for Real-Time Elderly Monitoring

inferred← citeshttps://doi.org/10.1109/etfi68128.2026.11484749openalex-snapshot

Sense Fit: A Low-Cost Embedded AI Wearable for Real-Time Worker Safety and Fall Detection

inferred← citeshttps://doi.org/10.1109/iatmsi68868.2026.11466078openalex-snapshot

Multi-Resolution Fall Transformer: A Dual-Branch Transformer for Wrist-IMU Fall Detection Using WEDA-FALL and FallAllD Datasets

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An AI-Enabled Factory Worker Safety and Monitoring System Using Deep Learning and Embedded Vision

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Fall Detection Framework - A Study of Optimized Neural Network and Ensemble Classifiers with Feature Explainability

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Optimising Real-Time Fall Detection: A Comparative Study of Machine Learning Algorithms Using IMU Sensor

inferred← citeshttps://doi.org/10.1109/imcet69180.2026.11503773openalex-snapshot

Enhanced Fall Detection Using Machine Learning Models on Acceleration Data from the SisFall Dataset

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An Interpretable AI for Smart Homes: Identifying Fall Prevention Strategies for Older Adults Using Multimodal Deep Learning

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RFAR: A Real-Time Firefighter Activity Recognition System Using Wearable Accelerometer

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An Ultrasonic-based Metrological Approach for Fall Detection and User recognition using Supervised and Unsupervised Machine Learning Techniques

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LLM-Augmented Multimodal Fusion for Accurate and Real-Time Wearable Event Prediction

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ProactiveGuard: IoT-Driven Fall Detection and RAG-Based Caregiver Assistance for Alzheimer's Patients

inferred← citeshttps://doi.org/10.1109/times-icon67125.2025.11488102openalex-snapshot

Real-Time Bed Fall Detection Using YOLOv8 and Raspberry Pi for Patient Safety

inferred← citeshttps://doi.org/10.1145/3810280.3810401openalex-snapshot

TF-SVDD: Unsupervised Fall Detection via Adaptive Time-Frequency Analysis and Multi-Center SVDD

inferred← citeshttps://doi.org/10.1145/3819113.3819151openalex-snapshot

Elderly Fall Prediction: A Multi-Modal AI-Based System Using Wearable Sensors

inferred← citeshttps://doi.org/10.1177/20552076251386698openalex-snapshot

LiteFallNet: A lightweight deep learning model for efficient real-time fall detection

inferred← citeshttps://doi.org/10.21203/rs.3.rs-8273858/v1openalex-snapshot

Hybrid Architecture for Automatic Video-Based Fall Detection Using YOLOv11, MediaPipe Pose, and LSTM Networks

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Universal Access–Oriented Emergency Response for Older Adults in Rural Thailand: A Cyber-Physical-Human IoT Case Study

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9395963/v1openalex-snapshot

Edge-Deployable Multimodal Fall Detection with INT8 Quantization on Rockchip RK3568

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9453442/v1openalex-snapshot

AURA: Design and Proof-of-Concept Evaluation of an Affordable Unified Robotic Architecture for Autonomous Safety Monitoring in Resource-Constrained Institutional Environments

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A Context-Aware Pervasive Smart-Health System for Elderly Emergency Response in Rural Thailand

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Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map

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Dual-Stream Transformer with Kalman-Based Sensor Fusion for Wearable Fall Detection

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A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review

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